Anderson G M, Beers M H, Kerluke K
Institute for Clinical Evaluative Sciences, North York, Ontario, Canada.
J Eval Clin Pract. 1997 Nov;3(4):283-94. doi: 10.1046/j.1365-2753.1997.t01-1-00005.x.
Bringing information on patterns of existing practice together with information on appropriate practice is an essential component of efforts to improve health care. In this study, computerized claims from a universal and comprehensive drug benefit plan for the elderly were brought together with explicit criteria for appropriate prescribing in the elderly in order to provide an estimate of the extent of potentially inappropriate prescribing in the covered population and the degree to which inappropriate prescribing was associated with defined physician characteristics. The analysis showed that 38% of elderly people who received antidepressants, 19% of those who received oral hypoglycemics, 18% of those who received sedative hypnotics and 13% of those who received non-steroidal anti-inflammatory drugs were defined as having received a potentially inappropriate drug. Older physicians and physicians without speciality certification were more likely to prescribe potentially inappropriate drugs. This analysis shows that criteria-based audits of drug claims databases can be used to provide an overview of prescribing problems at a population level and can reveal physician characteristics that may predict poor prescription practice. However, since neither explicit criteria nor claims databases can accurately capture the clinical details that ultimately define the appropriateness of care, audits of claims data should be linked to a more definitive measure of appropriateness and strategies designed to improve care.
将现有医疗实践模式的信息与恰当医疗实践的信息相结合,是改善医疗保健工作的重要组成部分。在本研究中,来自一项针对老年人的全面普及型药物福利计划的计算机化理赔数据,与老年人恰当开药的明确标准相结合,以便估算参保人群中潜在不恰当开药的程度,以及不恰当开药与特定医生特征的关联程度。分析表明,接受抗抑郁药治疗的老年人中有38%、接受口服降糖药治疗的有19%、接受镇静催眠药治疗的有18%以及接受非甾体抗炎药治疗的有13%被确定为接受了潜在不恰当的药物治疗。年长的医生和没有专业认证的医生更有可能开出潜在不恰当的药物。该分析表明,基于标准对药物理赔数据库进行审核,可用于概述人群层面的开药问题,并能揭示可能预示不良处方行为的医生特征。然而,由于明确的标准和理赔数据库都无法准确捕捉最终确定医疗适宜性的临床细节,因此对理赔数据的审核应与更具确定性的适宜性衡量标准以及旨在改善医疗的策略相联系。